Fuzzy Modeling Approach for Designing Urban Land Grading System by Using Remote Sensing and Geographic Information Systems (the Case of Weldiya, Northen Ethiopia)

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Addis Ababa University


Land grade have a crucial role to play in that it classifies the urban land into different level of valuation scales making it possible for urban land valuation. It would enable the development of appropriate standard benchmark prices on the lease of land and for the valuation of land related property. It also brings transparent and clear taxation systems that could establish sound and efficient land marketing system that would facilitate investment. However, the existing land grade system of the urban centers of Ethiopia like Weldiya town has not been very successful in allowing the town to benefit from the advantages of having an efficient land grading system. The major reasons behind the limitations emanates from two main factors. The first reason is related to that paramount factors have not been exhaustively considered in designing urban land grading system. The second problem is related to a methodological approach how land grade is prepared and implemented. Moreover, despite the fact that many geographical phenomena like land grade have fuzzy characteristics, currently most of the geographic phenomena are represented by crisp. Hence, the intent of this study is to develop conceptual fuzzy land grade model that is helpful to bring flexible land grading and enables to give decision makers an informed decision. In any of these methods, factor identification, weighting and integrating GIS and fuzzy logic approaches are important prerequisites that serve as platform to develop land grading. To design the conceptual model five main factors (infrastructure, land use, topographic characteristics, visual and environmental factors and population density) have been considered. Twenty four criteria were also considered under each main factor.The study confirmed that among the identified factors infrastructure takes the lion’s share that has 51% weighting influence and land use is in second position with weight influence 25.6 %. Topography, environmental and visual quality and population density factors have weight influence of 12.6%, 6.9% and 3.9 % respectively. This study used FAHP to determine criteria weights. The fuzzy consistency ratio (FCR) result was obtained 0.06. Based on the research findings, the most valuable land is situated in the old section of the town (CBD) where comprehensive infrastructure has been developed. The fuzzy analysis indicated that there is a gradual change in urban land grading pattern. This indicated that flexibility is another characteristic of fuzzy logic application. The final out put map indicated grade one, grade two, grade three have positively increased by 5.37%, 4.28% and 2.85% respectively as compared to the existing land grading. This situation is happened due to infrastructure development and expansion of the town. To sum up, this paper indicates the fuzzy modeling approach can avoid the loss of information that often arises when the strict Boolean logic is used on the basis of the crisp sets (Yes/No) and can produced a better and more reasonable result than crisp. It is also concluded that FAHP is best alternative to determine the criteria weights from judgments of decision-making domain of experts.



Fuzzy, Crisp, Land Grade, Master Plan, Urban Planning